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[ THE SMARTTEC BLOG ]

Notes from the
grid frontier.

Engineering, product, and industry deep-dives from the SmartTec team.


AURA
[ FEATURED · INDUSTRY ]

Why we're building a grid-independent AI cloud

AI workloads need 10x the power of traditional compute. The grid can't keep up — interconnection queues are 4 to 7 years long. We bet that owning the power layer is the only way to ship AI compute at the pace the market needs.

Jun 22, 2026·Daksh Gupta
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All posts

A
[ ANNOUNCEMENT ]

Announcing our design partner program

Three slots, locked pricing for 12 months, direct engineering access, named case study at power-on. Here's how we're picking our first three production customers.

Jun 12, 2026·Soohoon Choi
E
[ ENGINEERING ]

Cerebras vs. NVIDIA H200: when to use which

A practical guide for inference teams choosing between NVIDIA H200 and Cerebras CS-3. The answer is rarely "one or the other" — most workloads benefit from running both.

May 28, 2026·Rahul Bathija
E
[ ENGINEERING ]

How AURA predicts grid events 48 hours in advance

AURA watches ISO/RTO load forecasts, weather, and historical event patterns to predict grid instability before it happens. Here's how the model works and what it caught in our first 90 days.

May 15, 2026·Vaishant Kameswaran
E
[ ENGINEERING ]

Inside z1power: building megawatt BESS in Tulsa

Why we chose Tulsa, why we manufacture cells in-house, and what it takes to ship a 5 MW battery stack that the federal government will accept under ITAR.

May 4, 2026·Marcus Thompson
F
[ FEDERAL ]

ITAR, FedRAMP, and the long road to federal AI

Federal customers can't deploy AI on foreign-made silicon. Here's how we designed SmartTec to be ITAR-clean across the full stack — power, compute, networking, and firmware.

Apr 22, 2026·Everett Butler
I
[ INDUSTRY ]

The AI infrastructure build-out is bottlenecked on power, not chips

Everyone is talking about GPU shortages. The real bottleneck is megawatt-scale power delivery. We pulled 18 months of data on interconnection queues and the picture is grim.

Apr 8, 2026·Daksh Gupta
B
[ BUSINESS ]

What a 5 MW AI compute hall actually costs

Capex, opex, PPA, lease — we break down the real numbers for a 5 MW AI compute deployment running NVIDIA H100s on z1power battery-backed power.

Mar 24, 2026·Soohoon Choi
E
[ ENGINEERING ]

Sub-10ms failover: how we keep GPUs running through grid events

When the grid drops, our batteries take over in under 10 milliseconds. Here's the switchgear, the controls, and the load-shedding logic that makes it work without interrupting your training job.

Mar 11, 2026·Chun-Wei Yang
A
[ ANNOUNCEMENT ]

Behind the scenes: building the SmartTec brand

Why we refreshed the brand, what we kept, what we threw away, and how the design system ended up looking like a battery manufacturer's spec sheet (in the best way).

Feb 27, 2026·Soohoon Choi
B
[ BUSINESS ]

The economics of behind-the-meter AI compute

When you own the power, your cost structure changes. We model out five years of TCO for grid-tied vs. behind-the-meter AI compute at 1 MW, 5 MW, and 50 MW scales.

Feb 14, 2026·Daksh Gupta
P
[ PRODUCT ]

Why we're starting with NVIDIA Cloud Partner architecture

Reference architectures aren't glamorous, but they save months of integration work. Here's why we picked NVIDIA's NCP framework for our base deployment and what it unlocks for customers.

Jan 28, 2026·Vaishant Kameswaran
P
[ PRODUCT ]

Announcing SmartTec: the grid-independent AI cloud

Today we're announcing SmartTec. NVIDIA and Cerebras compute on megawatt batteries we build ourselves. Q4 2026 power-on. Three design-partner slots now open.

Jan 12, 2026·Daksh Gupta